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* 新增adaface模型 * 新增adaface模型python代码 * 新增adaface模型example代码 * 删除无用的import * update * 修正faceid文档的错误 * 修正faceid文档的错误 * 删除无用文件 * 新增adaface模型paddleinference推理代码,模型文件先提交方便测试后期会删除 * 新增adaface模型paddleinference推理代码,模型文件先提交方便测试后期会删除 * 按照要求修改并跑通cpp example * 测试python example * python cpu测试通过，修改了文档 * 修正文档，替换了模型下载地址 * 修正文档 * 修正文档 Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
74 lines
2.4 KiB
C++
74 lines
2.4 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "fastdeploy/vision/faceid/contrib/adaface.h"
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#include "fastdeploy/utils/perf.h"
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#include "fastdeploy/vision/utils/utils.h"
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namespace fastdeploy {
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namespace vision {
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namespace faceid {
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AdaFace::AdaFace(const std::string& model_file, const std::string& params_file,
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const RuntimeOption& custom_option,
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const ModelFormat& model_format)
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: InsightFaceRecognitionModel(model_file, params_file, custom_option,
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model_format) {
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initialized = Initialize();
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}
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bool AdaFace::Initialize() {
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// (1) if parent class initialed backend
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if (initialized) {
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// (1.1) re-init parameters for specific sub-classes
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size = {112, 112};
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alpha = {1.f / 127.5f, 1.f / 127.5f, 1.f / 127.5f};
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beta = {-1.f, -1.f, -1.f}; // RGB
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swap_rb = true;
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l2_normalize = false;
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return true;
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}
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// (2) if parent class not initialed backend
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if (!InsightFaceRecognitionModel::Initialize()) {
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FDERROR << "Failed to initialize fastdeploy backend." << std::endl;
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return false;
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}
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// (2.1) re-init parameters for specific sub-classes
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size = {112, 112};
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alpha = {1.f / 127.5f, 1.f / 127.5f, 1.f / 127.5f};
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beta = {-1.f, -1.f, -1.f}; // RGB
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swap_rb = true;
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l2_normalize = false;
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return true;
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}
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bool AdaFace::Preprocess(Mat* mat, FDTensor* output) {
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return InsightFaceRecognitionModel::Preprocess(mat, output);
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}
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bool AdaFace::Postprocess(std::vector<FDTensor>& infer_result,
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FaceRecognitionResult* result) {
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return InsightFaceRecognitionModel::Postprocess(infer_result, result);
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}
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bool AdaFace::Predict(cv::Mat* im, FaceRecognitionResult* result) {
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return InsightFaceRecognitionModel::Predict(im, result);
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}
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} // namespace faceid
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} // namespace vision
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} // namespace fastdeploy
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